Data Engineering Developer
OSEDEA•Montreal, QC
•Remote
About The Position
We are a thriving and agile tech development firm where people are at the center of everything we do. We believe in the power of community, celebrating diversity, and having fun while building a more efficient and enjoyable world. This role involves diving into complex problems, understanding data, and designing scalable solutions using modern technology stacks, while contributing to the growth of data engineering best practices.
Requirements
- Over 5 years of experience in a similar role.
- Strong proficiency in Python and SQL.
- Experience with Spark and modern analytical architectures (ELT, medallion, star schema).
- Experience within the Microsoft Azure ecosystem (Functions, Storage, Fabric, Synapse, Data Factory).
- Excellent communication skills in French and English.
- Rigour, curiosity, and attention to detail.
- Strong results orientation and a developed sense of client service.
Nice To Haves
- Experience in consulting or multi-client environments is an asset.
- Experience with platforms such as Snowflake, BigQuery, or dbt (an asset).
- Microsoft certifications (Azure, Fabric, Power BI) (an asset).
Responsibilities
- Designing, developing, and maintaining robust data pipelines within the Microsoft ecosystem (Fabric, Synapse, Data Factory, Azure Functions).
- Working directly with clients: understanding their needs, proposing the right technical solutions, and ensuring smooth project follow-ups.
- Documenting technical and functional architectures, transformations, and processes in a clear and reusable manner.
- Participating in the establishment of engineering standards: code quality, data quality, CI/CD, security, and performance.
- Collaborating closely with fellow engineers to deliver stable, optimized, and scalable data solutions.
- Providing technical guidance to colleagues and sharing best practices in data engineering and architecture.
- Implementing data extraction processes by interacting with various APIs to integrate external data.
- Overseeing deployments, operational costs, and performance of solutions in cloud environments.
- Designing and implementing data governance and quality strategies, including metadata management, security, privacy, and cataloging.
- Staying up to date with cloud platforms, modern analytical architectures, and data governance trends.
Benefits
- Competitive Salary
- Contribution to your pension plan (RRSP)
- Flexible hours of work
- Choose how you work
- Work from anywhere up to 8 weeks
- Paid sabbatical
- Wellness and productivity spending account
- Parental program
- Activities
- Training
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
